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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 21406
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    Explanations

    instances of laws or regulations

    oai_token-act-pair · gpt-3.5-turbo

    conjunctive phrases and prepositions in legislative or policy-related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ipeg
    -0.87
    iple
    -0.73
    rio
    -0.67
    erb
    -0.65
     Legend
    -0.65
    aclysm
    -0.64
    lore
    -0.63
    itialized
    -0.62
     Interpret
    -0.61
    eco
    -0.61
    POSITIVE LOGITS
     thereby
    1.07
     respectively
    0.91
     including
    0.89
     prompting
    0.88
     aka
    0.88
     forcing
    0.87
    channelAvailability
    0.87
     citing
    0.86
     includ
    0.84
    SPONSORED
    0.84
    Activations Density 0.442%

    No Known Activations